Min Zhang

According to our database, Min Zhang authored at least 14 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

A Tiny Machine Learning Model for Point Cloud Object Classification.

Min Zhang, Jintang Xue, Pranav Kadam, Hardik Prajapati, Shan Liu, C.-C. Jay Kuo

CoRR, 2023

S3I-PointHop: SO(3)-Invariant PointHop for 3D Point Cloud Classification.

Pranav Kadam, Hardik Prajapati, Min Zhang, Jintang Xue, Shan Liu, C.-C. Jay Kuo

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

R-PointHop: A Green, Accurate, and Unsupervised Point Cloud Registration Method.

Pranav Kadam, Min Zhang, Shan Liu, C.-C. Jay Kuo

IEEE Trans. Image Process., 2022

GSIP: Green Semantic Segmentation of Large-Scale Indoor Point Clouds.

Min Zhang, Pranav Kadam, Shan Liu, C.-C. Jay Kuo

Pattern Recognit. Lett., 2022

GreenPCO: An Unsupervised Lightweight Point Cloud Odometry Method.

Pranav Kadam, Min Zhang, Jiahao Gu, Shan Liu, C.-C. Jay Kuo

Proceedings of the 24th IEEE International Workshop on Multimedia Signal Processing, 2022

Enhancing Image Rescaling using Dual Latent Variables in Invertible Neural Network.

Min Zhang, Zhihong Pan, Xin Zhou, C.-C. Jay Kuo

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

NTIRE 2022 Image Inpainting Challenge: Report.

Andrés Romero, Angela Castillo, Jose Abril-Nova, Radu Timofte, Ritwik Das, Sanchit Hira, Zhihong Pan, Min Zhang, Baopu Li, Dongliang He, Tianwei Lin, Fu Li, Chengyue Wu, Xianming Liu, Xinying Wang, Yi Yu, Jie Yang, Rengang Li, Yaqian Zhao, Zhenhua Guo, Baoyu Fan, Xiaochuan Li, Runze Zhang, Zeyu Lu, Junqin Huang, Gang Wu, Junjun Jiang, Jiayin Cai, Changlin Li, Xin Tao, Yu-Wing Tai, Xiaoqiang Zhou, Huaibo Huang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

GPCO: An Unsupervised Green Point Cloud Odometry Method.

Pranav Kadam, Min Zhang, Shan Liu, C.-C. Jay Kuo

CoRR, 2021

2020

PointHop: An Explainable Machine Learning Method for Point Cloud Classification.

Min Zhang, Haoxuan You, Pranav Kadam, Shan Liu, C.-C. Jay Kuo

IEEE Trans. Multim., 2020

Unsupervised Feedforward Feature (UFF) Learning for Point Cloud Classification and Segmentation.

Min Zhang, Pranav Kadam, Shan Liu, C.-C. Jay Kuo

Proceedings of the 2020 IEEE International Conference on Visual Communications and Image Processing, 2020

Unsupervised Point Cloud Registration via Salient Points Analysis (SPA).

Pranav Kadam, Min Zhang, Shan Liu, C.-C. Jay Kuo

Proceedings of the 2020 IEEE International Conference on Visual Communications and Image Processing, 2020

Pointhop++: A Lightweight Learning Model on Point Sets for 3D Classification.

Min Zhang, Yifan Wang, Pranav Kadam, Shan Liu, C.-C. Jay Kuo

Proceedings of the IEEE International Conference on Image Processing, 2020

2019

Interpretable convolutional neural networks via feedforward design.

C.-C. Jay Kuo, Min Zhang, Siyang Li, Jiali Duan, Yueru Chen

J. Vis. Commun. Image Represent., 2019

Semi-Supervised Learning Via Feedforward-Designed Convolutional Neural Networks.

Yueru Chen, Yijing Yang, Min Zhang, C.-C. Jay Kuo

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019